Package: Nestimate Title: Dynamic, Probabilistic, and Higher-Order Network Analysis Version: 0.9.26 Authors@R: c( person("Mohammed", "Saqr", email = "saqr@saqr.me", role = c("aut", "cre", "cph")), person("Sonsoles", "López-Pernas", email = "sonsoles.lopez@uef.fi", role = "aut"), person("Kamila", "Misiejuk", email = "kamila.misiejuk@fernuni-hagen.de", role = "aut") ) Description: Estimate, compare, and analyze dynamic and psychological networks using a unified interface. Provides transition network analysis estimation (transition, frequency, co-occurrence, attention-weighted) Saqr et al. (2025) , psychological network methods (correlation, partial correlation, 'graphical lasso', 'Ising') Saqr, Beck, and Lopez-Pernas (2024) , and higher-order network methods including higher-order networks, higher-order network embedding, hyper-path anomaly, and multi-order generative model. Supports bootstrap inference, permutation testing, split-half reliability, centrality stability analysis, mixed Markov models, multi-cluster multi-layer networks and clustering. License: MIT + file LICENSE URL: https://github.com/mohsaqr/Nestimate, https://pak.dynasite.org/Nestimate/ BugReports: https://github.com/mohsaqr/Nestimate/issues Language: en-US Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 Imports: ggplot2, data.table, cluster, scales, brglm2, nnet, idiographic (>= 0.3.4), psychnets (>= 0.5.2) Suggests: testthat (>= 3.0.0), igraph, glmnet, lavaan, stringdist, gridExtra, lme4, corpcor, Matrix, cograph (>= 2.4.4), ggfittext, knitr, rmarkdown, tna Config/testthat/edition: 3 Depends: R (>= 4.1.0) LazyData: true VignetteBuilder: knitr Repository: https://mohsaqr.r-universe.dev Date/Publication: 2026-10-12 13:18:07 UTC RemoteUrl: https://github.com/mohsaqr/Nestimate RemoteRef: HEAD RemoteSha: 57941e9406aa307d8880503386db0e51f4b91fd6 NeedsCompilation: no Packaged: 2026-10-12 16:01:03 UTC; root Author: Mohammed Saqr [aut, cre, cph], Sonsoles López-Pernas [aut], Kamila Misiejuk [aut] Maintainer: Mohammed Saqr